MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202511102870 A) filed by Lovely Professional University, Phagwara, Punjab, on Oct. 25, 2025, for 'computer-implemented system for detecting panic-buying behavior among consumers.'
Inventor(s) include Vikas Verma; Dr. Balraj Kumar; Dr. Shailesh Kumar Singh; and Meghna Gupta.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "A computer-implemented system for detecting panic-buying behavior among consumers, comprising a dataset module 101 configured to store and manage customer purchasing records collected from public repositories, a data balancing module 102 applies one or more SMOTE variants to address class imbalance, followed by a feature selection module 103 that generates optimized feature subsets from the balanced data, a classification module 104 trains and evaluates multiple machine learning classifiers, including Gradient Boosting and its variants, to identify the most effective predictive model, a statistical analysis module 105 performs post-hoc significance testing, including the Friedman test, to validate classifier performance, an explainable AI module 106 interprets the top-performing classifiers and identifies key behavioral factors influencing panic-buying detection, ensuring transparency, interpretability, and robust decision support."
Disclaimer: Curated by HT Syndication.
